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Synthesis of Compact Crossbars for in-Memory Computing using Dynamic FBDDs

  • Amad Ul Hassen
  • , Salman Anwar Khokhar
  • , Bilal Amin
  • University of Central Florida

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

3 Citations (Scopus)

Abstract

Computer-aided synthesis benefits from algorithms that are capable of designing compact circuits. This paper is an attempt to improve area and time efficiency of crossbars synthesized using Free Binary Decision Diagrams (FBDDs). We report 13.7% and 6.2% improvement in area and time requirements of multiplier crossbars synthesized using FBDDs. We have used Dynamic Weight Heuristic (DWH) to make FBDDs more compact than the previous approach. Our approach is not multiplier specific; we have found it to perform better than the previous FBDD based synthesis for other RevLib benchmarks as well.

Original languageEnglish
Title of host publication18th International Conference on Nanotechnology, NANO 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781538653364
DOIs
Publication statusPublished - 2 Jul 2018
Event18th International Conference on Nanotechnology, NANO 2018 - Cork, Ireland
Duration: 23 Jul 201826 Jul 2018

Publication series

NameProceedings of the IEEE Conference on Nanotechnology
Volume2018-July
ISSN (Print)1944-9399
ISSN (Electronic)1944-9380

Conference

Conference18th International Conference on Nanotechnology, NANO 2018
Country/TerritoryIreland
CityCork
Period23/07/1826/07/18

Keywords

  • BDD
  • Binary Decision Diagrams
  • CAD
  • crossbars
  • FBDD
  • in-memory computing
  • memristors
  • sneak paths

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